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NSCPHD1281 Introduction to
8 to 11 February 2016, from 9:00 to 16:00 each
No fee for PhD students under the Open Market in Denmark and
No fee for students from other Nordic countries (Sweden, Norway,
Iceland or Finland).
Other participants are to pay a course fee of 250 EUR. Each
student must pay and arrange their own travel and accommodation in
Copenhagen during the course.
Natural Sciences PhD Committee
Department of Nutrition, Exercise and
Lars Ove Dragsted (4-7169776645736a7d7833707a336970)
Gözde Gürdeniz (4-6c747f6c45736a7d7833707a336970)
Lars Ove Dragsted
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The course will provide an introduction to the LC-MS based
nutritional metabolomics studies, aiming to cover key steps such as
study design, sample collection and analysis, data handling
methodologies and metabolite identification.
The students will go through common steps in a typical
metabolomics study. Therefore, the major focus will be application
of various free or commercial tools for data preprocessing, data
analysis, and metabolite identification with computer based
hands-on training using example datasets that will be provided to
The course will finalize by presentations of reports generated
by the students based on a case study.
SCIENCE, NordFOOD and NUGO homepages only. A limit of 16
participants has been set this year.
The aim of this course is to introduce the students to all
phases in a nutritional metabolomics study and to train the student
in the use of available tools for data handling. Both targeted and
untargeted LC-MS methodologies will be thought, yet major focus of
the course is untargeted LC-MS based metabolomics.
After completing the course the students should be able to:
Evaluate the effect of study design on data handling and
interpretation of final outcome
Suggest the sample type to analyze for a specific research
question and propose the relevant sample collection and preparation
Understand the basic principles of LC-MS technology
Carry out data preprocessing on using freely available tools
such as MZmine
Perform multivariate analysis on MATLAB (PLStoolbox)
Interpret the MS/MS spectra by utilizing available tools (e.g.
CAMERA, MetFusion, MetFrag) and databases (e.g. HMDB,
Teaching and learning methods
Lectures, hands-on exercises, group
Register no later than 18 January 2016 via the website of NEXS: